The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-29"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "24996456 (up from 24734448 yesterday: 1.06 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "842499 (up from 837124 yesterday: 0.64 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5358950

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.37



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5961094 47153 0.80 963165 182761 961 0.53 3.07
Brazil 3846153 41350 1.09 833741 120262 758 0.63 3.13
India 3542733 78761 2.27 1389723 63498 948 1.52 1.79
Russia 982573 4843 0.50 102010 16977 111 0.66 1.73
Peru 629961 7964 1.28 166086 28471 194 0.69 4.52
South Africa 622551 2419 0.39 69363 13981 238 1.73 2.25
Colombia 599884 9392 1.59 223014 19063 297 1.58 3.18
Mexico 591712 5974 1.02 115810 63819 673 1.07 10.79
Spain 439286 0 0.00 124924 29011 0 0.00 6.60
Chile 408009 2037 0.50 36986 11181 49 0.44 2.74
Argentina 401239 9230 2.35 159428 8353 82 0.99 2.08
Iran 371816 1905 0.51 47124 21359 110 0.52 5.74
United Kingdom 334916 1110 0.33 23455 41585 12 0.03 12.42
Saudi Arabia 313911 987 0.32 26649 3840 27 0.71 1.22
Bangladesh 308925 2131 0.69 53812 4206 32 0.77 1.36
France 304947 0 0.00 69739 30601 0 0.00 10.03
Pakistan 295372 319 0.11 11885 6284 1 0.02 2.13
Turkey 267064 1549 0.58 27442 6284 39 0.62 2.35
Italy 266853 1444 0.54 16750 35473 1 0.00 13.29
Germany 242835 709 0.29 25932 9299 9 0.10 3.83
Iraq 227446 3834 1.71 80057 6891 77 1.13 3.03
Philippines 213131 3587 1.71 86246 3419 94 2.83 1.60
Indonesia 169195 3308 1.99 45692 7261 92 1.28 4.29
Canada 129639 297 0.23 8491 9161 6 0.07 7.07
Ukraine 119751 2579 2.20 38217 2540 41 1.64 2.12
Qatar 118407 211 0.18 5757 196 0 0.00 0.17
Bolivia 115354 945 0.83 26299 4938 92 1.90 4.28
Israel 113465 1465 1.31 31141 906 12 1.34 0.80
Ecuador 112906 765 0.68 19334 6537 33 0.51 5.79
Kazakhstan 105684 126 0.12 6983 1523 0 0.00 1.44
Egypt 98497 212 0.22 3183 5376 14 0.26 5.46
Dominican Republic 93732 342 0.37 14954 1673 25 1.52 1.78
Panama 91337 713 0.79 17686 1983 17 0.86 2.17
China 89863 27 0.03 1191 4721 3 0.06 5.25
Romania 85833 1365 1.62 25210 3539 32 0.91 4.12
Oman 85005 0 0.00 3648 650 0 0.00 0.76
Belgium 84599 647 0.77 11198 9891 5 0.05 11.69
Kuwait 84224 646 0.77 13025 528 3 0.57 0.63
Sweden 83958 0 0.00 1635 5821 0 0.00 6.93
Guatemala 73679 758 1.04 17490 2728 19 0.70 3.70
Netherlands 72128 571 0.80 13411 6252 5 0.08 8.67
Belarus 71523 177 0.25 2785 671 4 0.60 0.94
United Arab Emirates 69328 427 0.62 7028 379 0 0.00 0.55
Japan 67353 854 1.28 20011 1271 20 1.60 1.89
Poland 66239 759 1.16 15072 2032 14 0.69 3.07
Morocco 60056 1567 2.68 28049 1078 26 2.47 1.79
Honduras 59645 835 1.42 12672 1842 15 0.82 3.09
Portugal 57448 374 0.66 4911 1818 3 0.17 3.16
Singapore 56717 51 0.09 1788 27 0 0.00 0.05
Nigeria 53727 250 0.47 7587 1011 0 0.00 1.88
Bahrain 51391 278 0.54 7762 189 0 0.00 0.37
Ethiopia 49654 1514 3.14 27401 770 12 1.58 1.55
Venezuela 44946 1067 2.43 19985 375 9 2.46 0.83
Ghana 44118 169 0.38 3585 270 0 0.00 0.61
Algeria 43781 378 0.87 9088 1491 8 0.54 3.41
Kyrgyzstan 43712 125 0.29 4141 1057 0 0.00 2.42
Armenia 43626 175 0.40 3441 872 3 0.35 2.00
Switzerland 41722 376 0.91 5271 2005 1 0.05 4.81
Uzbekistan 41067 347 0.85 11415 307 5 1.66 0.75
Costa Rica 39699 1214 3.15 16897 418 11 2.70 1.05
Afghanistan 38143 3 0.01 1089 1402 0 0.00 3.68
Nepal 37340 884 2.42 14748 207 12 6.15 0.55
Moldova 36404 500 1.39 8961 990 9 0.92 2.72
Azerbaijan 36174 188 0.52 2693 529 2 0.38 1.46
Kenya 33794 164 0.49 7957 572 5 0.88 1.69
Serbia 31282 75 0.24 3419 710 1 0.14 2.27
Ireland 28720 142 0.50 2076 1777 0 0.00 6.19
Austria 26985 395 1.49 5066 733 0 0.00 2.72
Australia 25670 123 0.48 4586 611 11 1.83 2.38
El Salvador 25537 122 0.48 5559 708 6 0.85 2.77
Czechia 24094 317 1.33 5859 421 2 0.48 1.75
West Bank and Gaza 21668 417 1.96 7740 147 2 1.38 0.68
Korea, South 19699 299 1.54 5101 323 2 0.62 1.64
Bosnia and Herzegovina 19550 336 1.75 5863 594 3 0.51 3.04
Cameroon 19142 0 0.00 1100 411 0 0.00 2.15
Cote d’Ivoire 17893 96 0.54 1273 115 0 0.00 0.64
Denmark 17204 79 0.46 2453 624 0 0.00 3.63
Paraguay 16474 601 3.79 9769 294 14 5.00 1.78
Lebanon 16275 662 4.24 10052 155 7 4.73 0.95
Bulgaria 16164 99 0.62 2821 605 2 0.33 3.74
Madagascar 14791 95 0.65 1869 190 3 1.60 1.28
North Macedonia 14293 130 0.92 2539 596 6 1.02 4.17
Senegal 13456 72 0.54 2453 282 3 1.08 2.10
Sudan 13189 107 0.82 1295 823 0 0.00 6.24
Libya 12958 329 2.61 7726 231 5 2.21 1.78
Kosovo 12683 0 0.00 2814 488 0 0.00 3.85
Zambia 11902 123 1.04 3999 284 1 0.35 2.39
Norway 10611 29 0.27 1012 264 0 0.00 2.49
Congo (Kinshasa) 10007 13 0.13 571 258 3 1.18 2.58

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 702038 4653 0.67 147650 12894 89 0.70 1.84 17767.62 326.33 1 in 56
Texas 626751 7397 1.19 129119 12607 70 0.56 2.01 21615.17 434.79 1 in 46
Florida 619003 3197 0.52 92426 11105 148 1.35 1.79 28820.68 517.05 1 in 35
New York 433402 635 0.15 13057 32938 4 0.01 7.60 22278.80 1693.16 1 in 45
Georgia 267758 2386 0.90 54331 5576 105 1.92 2.08 25218.74 525.17 1 in 40
Illinois 233066 1880 0.81 39068 8217 11 0.13 3.53 18392.46 648.45 1 in 54
Arizona 201287 629 0.31 15180 5007 29 0.58 2.49 26433.33 657.53 1 in 38
New Jersey 191320 349 0.18 6891 15933 3 0.02 8.33 21539.73 1793.81 1 in 46
North Carolina 165076 2585 1.59 30128 2683 31 1.17 1.63 15739.39 255.81 1 in 64
Tennessee 152280 1465 0.97 31695 1725 24 1.41 1.13 22285.40 252.44 1 in 45
Louisiana 146243 0 0.00 17497 4904 0 0.00 3.35 31458.27 1054.90 1 in 32
Pennsylvania 137576 795 0.58 14911 7656 14 0.18 5.56 10746.46 598.03 1 in 93
Massachusetts 128030 446 0.35 7319 9036 12 0.13 7.06 18422.90 1300.24 1 in 54
Alabama 123889 1704 1.39 23716 2152 45 2.14 1.74 25267.05 438.90 1 in 40
Ohio 121320 1196 1.00 21351 4252 147 3.58 3.50 10378.90 363.76 1 in 96
Virginia 118794 1216 1.03 19605 2568 18 0.71 2.16 13917.61 300.86 1 in 72
South Carolina 117249 1298 1.12 17789 2698 43 1.62 2.30 22772.48 524.01 1 in 44
Michigan 111136 0 0.00 14945 6712 0 0.00 6.04 11128.23 672.08 1 in 90
Maryland 107294 630 0.59 12713 3746 19 0.51 3.49 17747.22 619.62 1 in 56
Indiana 92434 1121 1.23 19147 3285 8 0.24 3.55 13730.09 487.95 1 in 73
Missouri 83168 1496 1.83 25147 1528 28 1.87 1.84 13550.95 248.96 1 in 74
Mississippi 82029 735 0.90 15383 2427 14 0.58 2.96 27562.13 815.48 1 in 36
Wisconsin 74800 819 1.11 14867 1119 6 0.54 1.50 12846.86 192.19 1 in 78
Minnesota 74257 1017 1.39 14156 1863 4 0.22 2.51 13166.99 330.34 1 in 76
Washington 73879 578 0.79 11356 1905 0 0.00 2.58 9701.91 250.17 1 in 103
Nevada 68461 609 0.90 13042 1302 15 1.17 1.90 22226.47 422.71 1 in 45
Iowa 63612 784 1.25 15077 1100 -8 -0.72 1.73 20161.83 348.65 1 in 50
Arkansas 60378 795 1.33 11567 772 16 2.12 1.28 20007.12 255.81 1 in 50
Oklahoma 57353 1093 1.94 14273 797 11 1.40 1.39 14494.17 201.42 1 in 69
Colorado 57020 267 0.47 6714 1942 5 0.26 3.41 9901.48 337.23 1 in 101
Connecticut 52495 0 0.00 2175 4465 0 0.00 8.51 14723.92 1252.35 1 in 68
Utah 51406 458 0.90 7655 407 0 0.00 0.79 16034.52 126.95 1 in 62
Kentucky 47577 820 1.75 12999 921 3 0.33 1.94 10649.17 206.15 1 in 94
Kansas 41595 545 1.33 11132 449 4 0.90 1.08 14277.55 154.12 1 in 70
Nebraska 33753 317 0.95 5508 392 0 0.00 1.16 17448.75 202.65 1 in 57
Puerto Rico 32550 562 1.76 11126 428 4 0.94 1.31 10191.96 134.01 1 in 98
Idaho 31668 292 0.93 7171 358 5 1.42 1.13 17671.23 199.77 1 in 57
Oregon 26293 239 0.92 5283 454 7 1.57 1.73 6233.91 107.64 1 in 160
New Mexico 25178 136 0.54 3063 769 2 0.26 3.05 12007.66 366.74 1 in 83
Rhode Island 21683 0 0.00 1945 1046 0 0.00 4.82 20468.00 987.39 1 in 49
Delaware 17349 266 1.56 1847 604 0 0.00 3.48 17816.43 620.27 1 in 56
District of Columbia 13925 74 0.53 1272 605 0 0.00 4.34 19730.81 857.25 1 in 51
South Dakota 12942 425 3.40 3465 167 2 1.21 1.29 14629.37 188.77 1 in 68
North Dakota 11484 374 3.37 3976 141 2 1.44 1.23 15069.64 185.02 1 in 66
West Virginia 9970 144 1.47 2407 215 14 6.97 2.16 5578.72 120.30 1 in 179
Hawaii 8139 309 3.95 4793 62 3 5.08 0.76 5748.40 43.79 1 in 174
Montana 7251 188 2.66 2362 104 4 4.00 1.43 6784.38 97.31 1 in 147
New Hampshire 7246 30 0.42 428 432 0 0.00 5.96 5329.07 317.71 1 in 188
Alaska 5182 90 1.77 1569 37 0 0.00 0.71 7083.64 50.58 1 in 141
Maine 4492 56 1.26 464 132 0 0.00 2.94 3341.73 98.20 1 in 299
Wyoming 3795 -8 -0.21 780 37 0 0.00 0.97 6557.13 63.93 1 in 153
Vermont 1605 16 1.01 151 58 0 0.00 3.61 2572.16 92.95 1 in 389

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11109630 702038 6.32 2402103 147650 6.15 281169.5
2 Texas 4900972 626751 12.79 888315 129119 14.54 169023.0
3 Florida 4575211 619003 13.53 629339 92426 14.69 213021.1
4 New York 8096770 433402 5.35 1652938 13057 0.79 416210.2
5 Georgia 2312179 267758 11.58 514213 54331 10.57 217772.1
6 Illinois 3974791 233066 5.86 940857 39068 4.15 313671.7
7 Arizona 1192376 201287 16.88 175855 15180 8.63 156584.7
8 New Jersey 2807747 191320 6.81 554955 6891 1.24 316109.8
9 North Carolina 2218149 165076 7.44 248383 30128 12.13 211492.3
10 Tennessee 2177005 152280 6.99 491519 31695 6.45 318593.5
11 Louisiana 1828478 146243 8.00 323476 17497 5.41 393323.1
12 Pennsylvania 1636942 137576 8.40 303885 14911 4.91 127866.2
13 Massachusetts 1707155 128030 7.50 404411 7319 1.81 245651.4
14 Alabama 975818 123889 12.70 226316 23716 10.48 199017.2
15 Ohio 2171126 121320 5.59 526633 21351 4.05 185739.4
16 Virginia 1560673 118794 7.61 337645 19605 5.81 182844.5
17 South Carolina 935623 117249 12.53 157548 17789 11.29 181719.8
18 Michigan 2683874 111136 4.14 608753 14945 2.46 268740.6
19 Maryland 1304483 107294 8.23 284960 12713 4.46 215771.1
20 Indiana 1055793 92434 8.75 227327 19147 8.42 156826.9
21 Missouri 965326 83168 8.62 212586 25147 11.83 157285.1
22 Mississippi 568517 82029 14.43 74927 15383 20.53 191024.4
23 Wisconsin 1244470 74800 6.01 193312 14867 7.69 213737.1
24 Minnesota 1111137 74257 6.68 189740 14156 7.46 197023.0
25 Washington 1423771 73879 5.19 412077 11356 2.76 186971.9
26 Nevada 592521 68461 11.55 79502 13042 16.40 192367.2
27 Iowa 612579 63612 10.38 99032 15077 15.22 194157.0
28 Arkansas 706970 60378 8.54 155447 11567 7.44 234264.7
29 Oklahoma 863898 57353 6.64 170333 14273 8.38 218323.1
30 Colorado 985622 57020 5.79 406491 6714 1.65 171152.5
31 Connecticut 1127506 52495 4.66 262873 2175 0.83 316245.5
32 Utah 650560 51406 7.90 84205 7655 9.09 202922.2
33 Kentucky 815659 47577 5.83 167224 12999 7.77 182569.1
34 Kansas 403147 41595 10.32 86635 11132 12.85 138380.9
35 Nebraska 355218 33753 9.50 57680 5508 9.55 183631.4
37 Idaho 251050 31668 12.61 48079 7171 14.92 140089.8
38 Oregon 548850 26293 4.79 110783 5283 4.77 130129.0
39 New Mexico 747277 25178 3.37 134423 3063 2.28 356384.3
40 Rhode Island 504904 21683 4.29 286931 1945 0.68 476611.8
41 Delaware 232884 17349 7.45 36990 1847 4.99 239158.6
42 District of Columbia 285756 13925 4.87 72422 1272 1.76 404897.5
43 South Dakota 144506 12942 8.96 24519 3465 14.13 163346.6
44 North Dakota 199747 11484 5.75 32380 3976 12.28 262113.8
45 West Virginia 426257 9970 2.34 108337 2407 2.22 238512.6
46 Hawaii 190910 8139 4.26 51664 4793 9.28 134835.6
47 Montana 245381 7251 2.95 56535 2362 4.18 229590.2
48 New Hampshire 207340 7246 3.49 36089 428 1.19 152488.3
49 Alaska 345695 5182 1.50 72102 1569 2.18 472554.7
50 Maine 255358 4492 1.76 68957 464 0.67 189968.5
51 Wyoming 75257 3795 5.04 18619 780 4.19 130031.7
52 Vermont 130180 1605 1.23 28377 151 0.53 208625.5

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 780689 16408 2.15 562401 72.04 193548 24399 296 1.23 3.13
Andhra Pradesh 424767 10603 2.56 321754 75.75 99129 3884 88 2.32 0.91
Tamil Nadu 422085 6495 1.56 362133 85.80 52721 7231 94 1.32 1.71
Karnataka 335928 8852 2.71 242229 72.11 88091 5589 106 1.93 1.66
Uttar Pradesh 225632 6175 2.81 167543 74.25 54666 3423 67 2.00 1.52
Delhi 173390 2024 1.18 154171 88.92 14793 4426 22 0.50 2.55
West Bengal 159785 3019 1.93 130952 81.96 25657 3176 50 1.60 1.99
Bihar 135013 2078 1.56 117305 86.88 17019 688 9 1.33 0.51
Telangana 124963 4797 3.99 92837 74.29 31299 827 19 2.35 0.66
Assam 105775 1980 1.91 83928 79.35 21548 296 7 2.42 0.28
Odisha 100934 3014 3.08 73233 72.56 27166 535 12 2.29 0.53
Gujarat 95155 1272 1.35 76857 80.77 15292 3006 17 0.57 3.16
Rajasthan 80227 1450 1.84 65093 81.14 14091 1043 13 1.26 1.30
Kerala 73855 2154 3.00 49845 67.49 23658 288 7 2.49 0.39
Haryana 63282 1295 2.09 51620 81.57 10980 682 12 1.79 1.08
Madhya Pradesh 62433 1558 2.56 47467 76.03 13592 1374 29 2.16 2.20
Punjab 52526 1678 3.30 35747 68.06 15375 1404 56 4.15 2.67
Jharkhand 38435 1323 3.56 26448 68.81 11577 410 12 3.02 1.07
Jammu and Kashmir 37163 786 2.16 28510 76.72 7959 694 9 1.31 1.87
Chhattisgarh 30092 1346 4.68 16303 54.18 13520 269 7 2.67 0.89
Uttarakhand 19235 664 3.58 13004 67.61 5912 257 7 2.80 1.34
Goa 17004 451 2.72 13186 77.55 3635 183 5 2.81 1.08
Puducherry 14127 571 4.21 8968 63.48 4938 221 10 4.74 1.56
Tripura 11644 768 7.06 7433 63.84 4089 103 9 9.57 0.88
Manipur 6112 152 2.55 4239 69.36 1845 28 0 0.00 0.46
Himachal Pradesh 5945 164 2.84 4408 74.15 1459 34 1 3.03 0.57
Chandigarh 4155 170 4.27 2296 55.26 1805 52 7 15.56 1.25
Arunachal Pradesh 4034 157 4.05 2822 69.96 1205 7 0 0.00 0.17
Nagaland 3922 71 1.84 3017 76.93 887 8 0 0.00 0.20
Andaman and Nicobar Islands 3104 23 0.75 2586 83.31 473 45 1 2.27 1.45
Ladakh 2638 35 1.34 1757 66.60 847 34 2 6.25 1.29
Meghalaya 2343 60 2.63 1049 44.77 1284 10 0 0.00 0.43
Dadra and Nagar Haveli and Daman and Diu 2336 28 1.21 2028 86.82 277 2 0 0.00 0.09
Sikkim 1627 25 1.56 1220 74.98 404 3 0 0.00 0.18
Mizoram 1011 8 0.80 589 58.26 422 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1574104 99705 289 0.29 6.33 185 18 6645 16860 16.91
Piemonte 582786 32784 90 0.28 5.63 81 5 1383 4145 12.64
Emilia-Romagna 884399 31696 149 0.47 3.58 98 10 2769 4459 14.07
Veneto 1540353 22755 151 0.67 1.48 54 6 1345 2120 9.32
Toscana 528647 11687 92 0.79 2.21 44 5 1421 1141 9.76
Lazio 558605 10887 171 1.60 1.95 293 8 2882 878 8.06
Liguria 234286 10854 47 0.43 4.63 29 1 493 1571 14.47
Marche 202668 7223 12 0.17 3.56 10 1 296 987 13.66
Campania 406749 6612 188 2.93 1.63 72 2 1771 445 6.73
Puglia 300338 5333 65 1.23 1.78 112 5 748 556 10.43
P.A. Trento 185428 5084 14 0.28 2.74 3 1 84 405 7.97
Sicilia 343982 4257 29 0.69 1.24 70 10 1084 286 6.72
Friuli Venezia Giulia 323840 3748 20 0.54 1.16 15 0 348 348 9.28
Abruzzo 154590 3739 14 0.38 2.42 37 1 395 472 12.62
P.A. Bolzano 136144 2924 9 0.31 2.15 8 2 190 292 9.99
Sardegna 133400 2092 70 3.46 1.57 24 2 691 134 6.41
Umbria 152004 1753 12 0.69 1.15 11 1 238 80 4.56
Calabria 153540 1443 11 0.77 0.94 17 0 198 97 6.72
Valle d’Aosta 24678 1230 4 0.33 4.98 1 0 19 146 11.87
Molise 33077 524 2 0.38 1.58 3 0 69 23 4.39
Basilicata 56000 523 5 0.97 0.93 1 1 87 28 5.35

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 62232 108 0.17 5755 5 0.09 9.25 7289.10 674.07 1 in 137
Ontario 44045 126 0.29 2856 1 0.04 6.48 2993.85 194.13 1 in 334
Alberta 13476 0 0.00 237 0 0.00 1.76 3053.60 53.70 1 in 327
British Columbia 5496 0 0.00 204 0 0.00 3.71 1075.35 39.91 1 in 930
Saskatchewan 1615 4 0.25 24 0 0.00 1.49 1366.71 20.31 1 in 732
Manitoba 1155 59 5.38 14 0 0.00 1.21 838.47 10.16 1 in 1193
Nova Scotia 1083 0 0.00 65 0 0.00 6.00 1107.98 66.50 1 in 903
Newfoundland and Labrador 269 0 0.00 3 0 0.00 1.12 515.95 5.75 1 in 1938
New Brunswick 191 0 0.00 2 0 0.00 1.05 244.87 2.56 1 in 4084
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4786 87 1.82
Guangdong 1738 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 897 7 0.78
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 652 3 0.46
Chongqing 583 6 1.03
Fujian 380 1 0.26
Shaanxi 364 3 0.82
Hebei 362 6 1.66
Liaoning 262 2 0.76
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 221 3 1.36
Shanxi 202 0 0.00
Yunnan 199 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 18218.50 558.56 1 in 55
Brazil 18376.27 574.59 1 in 54
India 2645.81 47.42 1 in 378
Russia 6799.81 117.49 1 in 147
Peru 19582.25 885.02 1 in 51
South Africa 10975.86 246.49 1 in 91
Colombia 12225.07 388.49 1 in 82
Mexico 4579.81 493.96 1 in 218
Spain 9414.62 621.75 1 in 106
Chile 22604.38 619.45 1 in 44
Argentina 9063.45 188.68 1 in 110
Iran 4581.27 263.17 1 in 218
United Kingdom 5040.88 625.90 1 in 198
Saudi Arabia 9529.78 116.58 1 in 105
Bangladesh NA NA 1 in NA
France 4552.13 456.80 1 in 220
Pakistan 1499.35 31.90 1 in 667
Turkey 3304.84 77.76 1 in 303
Italy 4412.25 586.52 1 in 227
Germany 2933.14 112.32 1 in 341

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 239756 5759 2.40
New York New York 233688 23683 10.13
Miami-Dade Florida 156038 2399 1.54
Maricopa Arizona 133389 2950 2.21
Cook Illinois 125124 5046 4.03
Harris Texas 104649 2177 2.08
Dallas Texas 70810 943 1.33
Broward Florida 70764 1183 1.67
Clark Nevada 58789 1126 1.92
Riverside California 51860 1007 1.94
Orange California 48190 975 2.02
San Bernardino California 47145 716 1.52
Bexar Texas 46291 1078 2.33
Suffolk New York 44712 2002 4.48
Nassau New York 44554 2197 4.93
Palm Beach Florida 41730 1117 2.68
Tarrant Texas 41272 550 1.33
San Diego California 38047 679 1.78
Westchester New York 36895 1450 3.93
Hillsborough Florida 36784 545 1.48
Orange Florida 35613 376 1.06
Philadelphia Pennsylvania 33607 1749 5.20
Wayne Michigan 30955 2874 9.28
Kern California 28961 273 0.94
Hidalgo Texas 27252 1156 4.24
Shelby Tennessee 26839 380 1.42
Travis Texas 26316 380 1.44
Duval Florida 26284 254 0.97
Prince George’s Maryland 26064 789 3.03
Middlesex Massachusetts 25204 2064 8.19
Mecklenburg North Carolina 25112 284 1.13
Fulton Georgia 24747 513 2.07
Fresno California 24612 263 1.07
Gwinnett Georgia 24137 330 1.37
Milwaukee Wisconsin 23977 489 2.04
Salt Lake Utah 23708 230 0.97
Davidson Tennessee 23399 255 1.09
Hennepin Minnesota 22736 879 3.87
Suffolk Massachusetts 22232 1107 4.98
Bergen New Jersey 21520 2032 9.44
Franklin Ohio 21497 582 2.71
Pima Arizona 21133 575 2.72
Cameron Texas 20853 746 3.58
Essex New Jersey 20276 2112 10.42
El Paso Texas 20217 428 2.12
Hudson New Jersey 20116 1506 7.49
Montgomery Maryland 19866 819 4.12
Pinellas Florida 19813 650 3.28
King Washington 19449 723 3.72
St. Louis Missouri 19071 729 3.82
Fairfield Connecticut 18774 1413 7.53
Nueces Texas 18664 348 1.86
Lee Florida 18584 418 2.25
Middlesex New Jersey 18415 1418 7.70
Passaic New Jersey 18306 1245 6.80
Marion Indiana 18212 748 4.11
Fairfax Virginia 18192 555 3.05
Essex Massachusetts 17952 1234 6.87
Alameda California 17847 247 1.38
Oakland Michigan 17794 1157 6.50
Sacramento California 17150 274 1.60
San Joaquin California 17114 307 1.79
Union New Jersey 17066 1350 7.91
Santa Clara California 17013 245 1.44
Cobb Georgia 16840 390 2.32
Polk Florida 16803 442 2.63
Providence Rhode Island 16668 0 0.00
DeKalb Georgia 16443 297 1.81
Jefferson Louisiana 16315 543 3.33
Out of GA Georgia 16082 125 0.78
Jefferson Alabama 15591 299 1.92
Cuyahoga Ohio 15544 605 3.89
Baltimore Maryland 15274 600 3.93
Fort Bend Texas 14933 231 1.55
Wake North Carolina 14745 199 1.35
Stanislaus California 14482 255 1.76
Lake Illinois 14455 464 3.21
DuPage Illinois 14398 533 3.70
Baltimore City Maryland 14383 460 3.20
Rockland New York 14218 674 4.74
District of Columbia District of Columbia 13925 605 4.34
Charleston South Carolina 13897 235 1.69
Tulare California 13884 232 1.67
New Haven Connecticut 13622 1109 8.14
East Baton Rouge Louisiana 13573 407 3.00
Contra Costa California 13562 173 1.28
Hartford Connecticut 13392 1426 10.65
Worcester Massachusetts 13384 1053 7.87
Douglas Nebraska 13338 155 1.16
Oklahoma Oklahoma 13254 154 1.16
Polk Iowa 13179 225 1.71
Tulsa Oklahoma 13104 132 1.01
Macomb Michigan 12562 965 7.68
Yuma Arizona 12213 319 2.61
Greenville South Carolina 12038 256 2.13
Mobile Alabama 11921 251 2.11
Jefferson Kentucky 11615 264 2.27
Collier Florida 11570 176 1.52
Orange New York 11410 494 4.33
Will Illinois 11371 359 3.16

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc